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You searched IISERK - Author: Sloot, Hans van der.
Tag In 1 In 2 Data
001  vtls000022103
003  IISER-K
005  20140514172600.0
006  m e d
007  cr bn |||m|||a
008  120213r20021979pau fob 001 0 eng d
020  \a 9780898719161 (electronic bk.)
020  \z 9780898715323 (print)
020  \z 0898715326 (pbk.)
039 9\a 201405141726 \b VLOAD \y 201202131216 \z Siladitya
08204\a 519.5/42 \2 21
1001 \a Gupta, Shanti Swarup, \d 1925-
24510\a Multiple decision procedures \h [electronic resource] : \b theory and methodology of selecting and ranking populations / \c Shanti S. Gupta, S. Panchapakesan.
260  \a Philadelphia, Pa. : \b Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), \c 2002.
300  \a 1 electronic text (xxxi, 573 p.) : \b digital file.
4901 \a Classics in applied mathematics ; \v 44
500  \a Originally published: New York : Wiley, c1979.
504  \a Includes bibliographical references (p. 520-560) and indexes.
5050 \a Introduction -- Indifference zone formulation -- Ranking of normal populations -- Some optimum properties of fixed subset size selection rules -- Ranking and selection problems for discrete distributions -- Selection from univariate populations, optimum sampling, and estimation of probability of correct selection -- Sequential selection procedures -- Selection from multivariate populations -- Nonparametric selection procedures -- Fixed-size subset selection: a generalized goal and other modifications -- Bayesian selection and ranking procedures -- Subset selection: general theory -- Selection from univariate continuous populations -- Selection from discrete populations -- Selection from multivariate normal populations -- Nonparametric procedures -- Selection from restricted families of probability distributions -- Sequential procedures -- Bayes, empirical Bayes, and [function]ยท-minimax procedures -- Some modified formulations and other related problems -- Comparison of several populations with a standard or a control -- Estimation of ordered parameters -- General theory of some multiple-decision problems and some miscellaneous topics -- Guide to tables -- Illustrative examples -- Bibliography -- Related references -- Monographs, books and special issues of journals devoted fully or partially to ranking and selection problems.
506  \a Restricted to subscribers or individual electronic text purchasers.
5203 \a Multiple Decision Procedures: Theory and Methodology of Selecting and Ranking Populations provides an encyclopedic coverage of the literature in the area of ranking and selection procedures, summarizing and surveying in a unified manner a majority of more than 600 main references in the bibliography. It also deals with related problems, such as the estimation of unknown ordered parameters. A separate chapter is devoted to information about several tables available in the literature for carrying out various specific procedures. Examples are given in another chapter illustrating applications of these procedures in various practical contexts. Although several books have appeared to date in this area, many of them deal with specific aspects of the field and a limited number of topics. This book contains substantial material not discussed in other books. Audience: this book can serve as a text for a graduate topics course in ranking and selection (as it has done at Purdue University for more than 30 years). It can also serve as a reference for researchers and practitioners in fields such as agriculture, industry, engineering, and behavioral sciences.
530  \a Also available in print version.
538  \a Mode of access: World Wide Web.
538  \a System requirements: Adobe Acrobat Reader.
588  \a Description based on title page of print version.
650 0\a Sequential analysis.
650 0\a Ranking and selection (Statistics)
653  \a Sequential analysis
653  \a Ranking and selection
653  \a Statistics
653  \a Population dynamics
7001 \a Panchapakesan, S.
7102 \a Society for Industrial and Applied Mathematics.
77608\i Print version: \z 0898715326 \z 9780898715323 \w (DLC) 2002029212
830 0\a Classics in applied mathematics ; \v 44.
85640\3 SIAM \u http://epubs.siam.org/ebooks/siam/classics_in_applied_mathematics/cl44 \y SIAM

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